Evidence map›Paper›PMID 39776889›Full record

ArticleExperimental and therapeutic medicine2025

An approach to COVID‑19 and oncology: From impact, staging and management to vaccine outcomes in cancer patients: A systematic review and meta‑analysis.

Ruqayyah Ali Ahmed, Ahad Abdullah Aldalbahi, Nora Ibrahim Alhumaidan, Turki Abdullah Alotaibi, Meshari Ayed Alharbi, Mohammed A Alharbi, Mujib Mesfer Mujib Alzahrani, Abdullah Abdulrahman Althobaiti, Lama Alzelfawi, Nabil A Almouaalamy

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ruqayyah Ali AhmedDepartment of Medicine and Surgery, Batterjee Medical College for Science and Technology, Jeddah 21442, Saudi Arabia.
Ahad Abdullah AldalbahiCollege of Medicine, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Nora Ibrahim AlhumaidanCollege of Medicine, Princess Noura University, Riyadh 11564, Saudi Arabia.
Turki Abdullah AlotaibiCollege of Medicine, Taif University, Taif 21944, Saudi Arabia.
Meshari Ayed AlharbiCollege of Medicine, Qassim University, Buraydah 52571, Saudi Arabia.
Mohammed A AlharbiCollege of Medicine, Imam Abdulrahman bin Faisal University, Dammam 31441, Saudi Arabia.
Mujib Mesfer Mujib AlzahraniCollege of Medicine, Al-Baha University, Al Baha 65779, Saudi Arabia.
Abdullah Abdulrahman AlthobaitiCollege of Medicine, Taif University, Taif 21944, Saudi Arabia.
Lama AlzelfawiCollege of Medicine, Princess Noura University, Riyadh 11564, Saudi Arabia.
Nabil A AlmouaalamyOncology Department, Princess Noorah Oncology Center, King Abdul Aziz Medical City, Ministry of National Guard-Health Affairs, King Abdullah International Medical Research Centre, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Makkah-Jeddah Highway Road, Jeddah 22384, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has had a global impact, with >771 million confirmed cases and 6 million deaths reported by October 2023. Cancer patients, due to their immunosuppressed status, face an increased infection risk and higher COVID-19 complications. The present study aimed to assess clinical outcomes in COVID-19-infected cancer patients, focusing on mortality rates and other aspects, providing valuable insight for better protection and outcomes. This systematic review was conducted by searching the PubMed, Cochrane and Embase databases from August 2023 following the PRISMA guidelines. Studies from 2020 to 2023 pertaining to the impact of COVID-19 on patients previously diagnosed with malignancies were considered. Inclusion criteria entailed a pre-existing malignancy diagnosis, confirmed COVID-19 infection and an impact of COVID-19 on any aspect of the patient's cancer management. Studies written in English were exclusively reviewed. Post-COVID-19 malignancy diagnoses, case reports, review articles and data-insufficient studies were excluded. Screening and consensus on eligibility were carried out by a team of four authors, with disputes resolved by a non-screening author. Data extraction was performed by a five-author team, detailing study and population characteristics, as well as cancer patient outcomes related to COVID-19. Cross-checking was conducted by the same team, with conflicts resolved by a third author. The review of 27 studies explored COVID-19's impact on oncology, revealing diverse sample sizes (1,807,559 to 177 participants). Studies spanned various cancer types, including gastric adenocarcinoma, breast, lung, gynecologic, colorectal and non-melanoma skin cancer. Mortality rates were higher among cancer patients with COVID-19 compared to those without. Gastric adenocarcinoma exhibited a 5.9% mortality rate. Thoracic cancer patients faced elevated mortality and gastrectomies decreased. A meta-analysis (10 studies, 5,151 patients) showed a 19.1% mortality rate for COVID-19-infected cancer patients, contrasting with 1% for non-COVID-19 cancer patients (5 studies, 54,528 patients). The odds ratio for mortality in non-COVID-19 vs. COVID-19 cancer patients was 0.1036 (3 studies, 3,496 patients). Cancer patients consistently faced elevated mortality during the pandemic, with specific cancers showing unique impacts. Gastric adenocarcinoma exhibited a significant COVID-19 mortality rate. Patients with thoracic cancer faced increased risks, influencing surgical trends. Meta-analysis revealed an overall elevated mortality rate among COVID-19-infected cancer patients compared to non-COVID-19 counterparts.

Indexed as

cancerCOVID-19mortalityoncologysurgical trends

Identifiers

PMID39776889
PMCPMC11705223

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.